lipschitz regularization

Zero-Shot Class Unlearning in CLIP with Synthetic Samples WACV 2025 Consistency of Neural Causal Partial Identification NeurIPS 2024 LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate AAAI 2024 PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks WACV 2024 Toward Student-oriented Teacher Network Training for Knowledge Distillation ICLR 2024 Advancing Bayesian Optimization via Learning Correlated Latent Space NeurIPS 2023 A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise AAAI 2023 Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization NeurIPS 2023 On the Role of Generalization in Transferability of Adversarial Examples UAI 2023 Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms AAAI 2022 Unsupervised Anomaly Detection by Robust Density Estimation AAAI 2022 Generalised Lipschitz Regularisation Equals Distributional Robustness ICML 2021 Generalization Bounds for (Wasserstein) Robust Optimization NeurIPS 2021 On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory AAAI 2021 Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection NeurIPS 2019 On the Connection Between Adversarial Robustness and Saliency Map Interpretability ICML 2019